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Transparent Peer Review By Scholar9

AI Anthropomorphism: Effects on AI-Human and Human-Human Interactions

Abstract

Objective: Anthropomorphism is the act of assigning distinctive human-like traits, feelings, and behavioral characteristics to non-human entities. The phenomenon known as artificial intelligence (AI) anthropomorphism involves imputing human-like behavioral characteristics onto generative artificial intelligence systems. This phenomenon holds significant implications for the future of human-human social interactions in society. This review paper examines the concept of AI anthropomorphism and its influence on human behavior, with a particular emphasis on how interaction between AI and humans can affect societal dynamics and social relationships among humans. Methodology: This paper examines the comprehensive understanding of AI anthropomorphism and the impact of AI-human interactions on human-human social interactions through the examination of several theoretical frameworks and empirical studies. The paper synthesizes information from the research literature on AI anthropomorphism. The paper incorporates insights from theoretical frameworks such as social presence theory, media equation theory, attachment theory, and uncanny valley theory. The paper entails an in-depth study of scholarly publications, case studies, and observational studies that highlights the implications for human relationships with anthropomorphized AI. Findings: The findings indicate that attributing human-like characteristics to AI can greatly increase user engagement, inclusivity, and understanding of AI, potentially enhancing human-human relationships by facilitating similar positive social behaviors. Excessive dependence on AI for social interaction can potentially diminish the quality of human communications and cause the erosion of social skills, thereby emphasising the importance of incorporating AI in a balanced manner. In conclusion, AI has the potential to enhance empathy, compassion, and teamwork in human communication. It is essential to strike a balance to avoid becoming overly reliant on generative AI and sacrificing authentic human connections. Subsequent investigations should prioritize the refinement of AI design and social chatbots to bolster and amplify human-human connections, rather than supplanting them.

Srinivasulu Harshavardhan Kendyala Reviewer

badge Review Request Accepted

Srinivasulu Harshavardhan Kendyala Reviewer

16 Oct 2024 03:23 PM

badge Approved

Relevance and Originality

Methodology

Validity & Reliability

Clarity and Structure

Results and Analysis

Relevance and Originality

The research article addresses a timely and pertinent issue in the evolving landscape of artificial intelligence and its role in human interactions. The concept of AI anthropomorphism is not only relevant in academic discourse but also in practical applications as AI systems increasingly integrate into everyday life. The originality of this review lies in its comprehensive examination of the implications of anthropomorphizing AI on social relationships, offering a fresh perspective on how these interactions can reshape societal dynamics. By focusing on both positive and negative consequences, the article provides a nuanced understanding that enriches the current literature on AI and human behavior.


Methodology

The methodology employed in this research article is robust, utilizing a systematic review approach to synthesize information from various theoretical frameworks and empirical studies. By incorporating well-established theories such as social presence theory, media equation theory, and attachment theory, the paper effectively contextualizes AI anthropomorphism within a broader framework of human-technology interaction. However, the article could enhance its methodological rigor by providing clearer criteria for the selection of studies and frameworks included in the synthesis. Additionally, discussing the limitations of the selected literature would offer greater transparency and allow for a more critical evaluation of the findings.


Validity & Reliability

The validity and reliability of the findings presented in this research article are strengthened by the incorporation of multiple theoretical frameworks and a diverse range of empirical studies. By highlighting the potential benefits of AI anthropomorphism, such as increased user engagement and improved social behaviors, the article presents a compelling argument for its positive impacts. However, it is crucial to address potential biases in the existing literature and the implications of over-reliance on AI for social interactions. Including specific metrics or criteria for assessing the reliability of the studies reviewed would further bolster the credibility of the conclusions drawn.


Clarity and Structure

The article is well-structured, presenting a logical progression from the introduction of the concept to its implications and findings. However, some sections could benefit from improved clarity. For instance, the explanation of various theoretical frameworks could be expanded to better illustrate their relevance to the discussion of AI anthropomorphism. Additionally, providing clear subheadings for each theoretical framework discussed would enhance readability and guide the reader through the complexities of the topic. Overall, while the clarity of the writing is generally strong, refining specific sections will improve the overall flow and comprehension.


Result Analysis

The findings outlined in the research article provide valuable insights into the impact of AI anthropomorphism on human behavior and social relationships. The assertion that attributing human-like traits to AI can enhance engagement and understanding is compelling and supported by the literature reviewed. However, the analysis could be deepened by exploring specific case studies or examples that illustrate the observed effects of AI on social interactions. Furthermore, discussing the potential long-term consequences of anthropomorphizing AI, particularly regarding the erosion of social skills, would provide a more comprehensive view of the implications for future human relationships. 

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done sir

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IJ Publication

Reviewer

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Srinivasulu Harshavardhan Kendyala

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Paper Category

Computer Engineering

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Journal Name

JETIR - Journal of Emerging Technologies and Innovative Research

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p-ISSN

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e-ISSN

2349-5162

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